Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Responsibilities

You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency. You'll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.

You will have hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions. You will also have multi-faceted first-hand experience working on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing.

Qualifications

You'll have a pursuit of a relevant Bachelor’s degree or master’s degree in computer science, Automotive / Mechanical Engineering or a related field. You'll also have a GPA of 3.0 on a 4.0 scale (or equivalent). You'll be an analytical and creative problem-solving skills, a team player who can work in fast-paced, and multi-disciplinary environment.

Benefits

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5.

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We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

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Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Responsibilities

You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency. You’ll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.

You will have hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions. You will also develop build and CI/CD pipelines to enable compilation and testing of in-house vehicle firmware, develop drivers for on-chip / on-board peripherals, and use commercial software and compilers to develop embedded firmware.

You will develop unit tests that validate vehicle and firmware functionality. You will work on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing.

Qualifications

You will have a relevant Bachelor’s degree or Master’s degree in Computer Science, Computer Engineering, or Automotive field. You will have a GPA of 3.0 on a 4.0 scale (or equivalent). You will have analytical and creative problem-solving skills, and be a team player who is capable of working in fast-paced, and multi-disciplinary environment.

You will have curiosity to ask “Whys” and motivation to investigate and explore. You must be able to work from the Long Beach, CA campus. You must be able to dedicate 6 MONTHS for this engagement. Candidates must graduate and be available for full-time work prior to July 2026.

Even better, you may have prior experience related to electric vehicles, experience developing cloud-based CI/CD pipelines and tools to perform regression analysis and create live dashboards, and experience in leveraging data to provide insights and drive engineering decisions.

Benefits

You will have immediate medical, dental, vision and prescription drug coverage. You will have flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. You will have family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.

You will have vehicle discount program for employees and family members and management leases. You will have tuition assistance. You will have established and active employee resource groups. You will have paid time off for individual and team community service.

You will have a generous schedule of paid holidays, including the week between Christmas and New Year’s Day. You will have paid time off and the option to purchase additional vacation time.

This position is a salary grade 5. For more information on salary and benefits, click here: https://fordcareers.co/GSRSP4

Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

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You'll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement.

As the program lead for our measurement infrastructure, you'll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale.

Responsibilities:

• Marketing Measurement Intelligence: Lead end-to-end program management for MMM proof-of-concept execution, and transition to production operations. Design and execute comprehensive incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes.
• MarTech Infrastructure & Vendor Management: Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and driving stakeholder alignment on build-vs-buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews.
• Marketing Workflow Automation: Partner with Marketing leadership to identify, prioritize, and support deployment of AI-powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross-functional teams. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organisation.

You May Be a Good Fit If You:

• Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs
• Have a track record of successfully managing complex programs involving data science, marketing operations, engineering, agencies, and vendors
• Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design
• Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms
• Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems
• Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design
• Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance
• Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility
• Excel at translating technical concepts for varied audiences and can influence without authority
• Thrive in ambiguous situations, bringing structure to complex challenges with competing priorities and limited resources
• Have excellent written and verbal communication skills with executive presence and strong presentation abilities
• Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to market

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